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Showing 4545 results for "david sherry" in Engineering
Engineering Preprint PDF DOI

Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis

Hongzhi Zhu, Wei Xu, Xiaohu You · 2026

This paper proposes a bitwise over-parameterized neural network (ONN) decoder for polar-coded transmission and develops a tractable theoretical performance analysis framework. By modeling each synthes…

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Engineering Preprint PDF DOI

Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives

Syed Pouladi · 2026

This paper addresses the stability analysis and state estimation of generalized Persidskii systems subject to time-varying delays and external disturbances. The generalized Persidskii class, which cou…

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Engineering Preprint PDF DOI

Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model

Jean Tapie, Philipp del Hougne · 2026

Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless communication systems. Dynamic metasurface a…

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Engineering Preprint PDF DOI

STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation

Yuxuan Tian, Yurun Jin, Bin Yu, Yukun Shi, Hao Wu, Chi Harold Liu, Kai Chen, Cong Huang · 2026

Robotic manipulation critically requires reasoning about future spatial-temporal interactions, yet existing VLA policies and world-model-enhanced policies do not fully model action-relevant spatial-te…

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Engineering Preprint PDF DOI

Distributed adaptive estimation for stochastic large regression models

Die Gan, Siyu Xie, Zhixin Liu, Xuebo Zhang · 2026

This paper studies the distributed adaptiveestimation problems for stochastic large regression modelswith an infinite number of parameters. By constructing a re-cursive local cost function, we propose…

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Engineering Preprint PDF DOI

Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Changyuan Zhao, Jiacheng Wang, Dusit Niyato, Zan Li, Abbas Jamalipour, Shiwen Mao, Xianbin Wang, Dong In Kim · 2026

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from domain experts. Recent…

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Engineering Preprint PDF DOI

EVT-Based Generative AI for Tail-Aware Channel Estimation

Parmida Valiahdi, Niloofar Mehrnia, Walid Saad, Sinem Coleri · 2026

Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringent URLLC requirements…

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Engineering Preprint PDF DOI

Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization

Samuel Ozechi, Banjo Francis, Wisdom Yakanu, Joe Wayne Byers · 2026

This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance. Using historical dat…

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Engineering Preprint PDF DOI

Two-Layer Microwave Linear Analog Computer (MiLAC)-aided Multi-user MISO Networks

Xiaohua Zhou, Tianyu Fang, Yijie Mao, Bruno Clerckx · 2026

Microwave linear analog computer (MiLAC)-aided transmit beamforming, which processes transmitted symbols entirely in the analog domain, has recently emerged as a promising alternative to fully digital…

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Engineering Preprint PDF DOI

Medium-Induced Cross-Frequency Clutter Structure in Single-Snapshot FDA-MIMO-GPR With a Weak-Dispersion Criterion

Yisu Yan, Jifeng Guo · 2026

This paper investigates the cross-frequency structure of background clutter induced by random dispersive media in single-snapshot FDA-MIMO-GPR. Representative media are modeled by the Cole--Cole formu…

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Engineering Preprint PDF DOI

Robust Operation of Distribution Networks: Generalized Uncertainty Modelling in Confidence-Level-Based Information Gap Decision

Zhisheng Xiong, Dimitris Boskos, Bo Zeng, Peter Palensky, Pedro P. Vergara · 2026

This paper studies the robust optimal operation of distribution networks (DNs) under renewable generation and load demand uncertainties, seeking an improved trade-off between robustness and economic p…

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Engineering Preprint PDF DOI

Learning to Trust AI and Data-driven models in Data Assimilation through a Multifidelity Ensemble Gaussian Mixture Filter Framework

Andrey A. Popov · 2026

AI and data-driven models have large potential for data assimilation applications by creating fast and accurate forecasts. Their tendency to produce spurious inaccurate, nonphysical results -- halluci…

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Engineering Preprint PDF DOI

Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning

Soham Kulkarni, Raayan Dhar, Yuchen Cui · 2026

In behavioral cloning (BC), policy performance is fundamentally limited by demonstration data quality. Real-world datasets contain trajectories of varying quality due to operator skill differences, te…

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Engineering Preprint PDF DOI

Minimax Optimal Procedures for Joint Detection and Estimation

Dominik Reinhard, Michael Fau{ss}, Abdelhak M. Zoubir · 2026

We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Specifically, it is as…

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Engineering Preprint PDF DOI

Task-Driven Co-Design of Heterogeneous Multi-Robot Systems

Maximilian Stralz, Meshal Alharbi, Yujun Huang, Gioele Zardini · 2026

Designing multi-agent robotic systems requires reasoning across tightly coupled decisions spanning heterogeneous domains, including robot design, fleet composition, and planning. Much effort has been …

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Engineering Preprint PDF DOI

A Case Study in Recovery of Drones using Discrete-Event Systems

Liam P. Burns, Dayse M. Cavalcanti, Felipe G. Cabral, Max H. de Queiroz, Melissa Greeff, Publio M. M. Lima, Karen Rudie · 2026

Discrete-event systems and supervisory control theory provide a rigorous framework for specifying correct-by-construction behavior. However, their practical application to swarm robotics remains large…

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Engineering Preprint PDF DOI

A Characterization of Integral Input-to-state Stability for Hybrid Systems with Memory

Wenbang Wang, Neng Li, Wei Ren · 2026

This paper addresses characterizations of Integral Input-to-State Stability (iISS) for hybrid systems with memory. Based on the Krasovskii approach, a novel Lyapunov characterization of iISS is establ…

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Engineering Preprint PDF DOI

Complex Approximate Message Passing with Non-separable Denoising

Vishnu Teja Kunde, Alessandro Mirri, Jean-Francois Chamberland, Enrico Paolini · 2026

Approximate Message Passing (AMP) is a general framework for iterative algorithms, originally developed for compressed sensing and later extended to a wide range of high-dimensional inference problems…

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Engineering Preprint PDF DOI

A Complete Approach to Time Varying Linear Systems

Douglas R. Frey · 2026

This paper presents a unifying theory of Linear second order systems that allows time-varying and time invariant systems to be treated in the same way for the first time. In the process, a transformat…

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Engineering Preprint PDF DOI

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

Wenjian Hao, Yuxuan Fang, Zehui Lu, Shaoshuai Mou · 2026

This paper presents a model-based reinforcement learning (RL) framework for optimal closed-loop control of nonlinear robotic systems. The proposed approach learns linear lifted dynamics through Koopma…

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